106 Redaction Jobs

Role Description We are seeking a skilled Technical Lead to Lead the end-to-end design and delivery of an AI-powered solution —combining NLP, anomaly detection, GenAI/RAG, and rule engines on Cloud platform. Own architecture, technical roadmap, and production reliability while guiding a cross-functional team (ML, Data Eng, Backend, DevOps, QA).Key responsibilities· Define reference architecture (ingestion → lakehouse → features/vectors → models → APIs/UX); make build/buy decisions.· Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components; establish human-in-the-loop.· Implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, rollback.· Design retrieval pipelines (chunking, embeddings, vector namespaces), guardrails (prompt policies, allow-lists, PII redaction), and citation-based responses.· Oversee feature store, labelling strategy, and high-quality gold datasets; enforce DQ rules and lineage.· Right-size SKUs; caching/batching; cost/per-token dashboards; SLOs for latency/throughput.· Break down epics/stories, estimate and sequence work, unblock the team, run technical design reviews.· Translate business policy into rule + ML ensembles, present options, risks, and trade-offs.· Establish testing pyramid (unit, data, model evals, e2e), performance targets, observability dashboards.· Produce design docs, runbooks, SOPs; mentor engineers; uplift coding and review standards. Skills requirements· 10+ years of software development experience, with at least 5 years leading AI/ML projects.· Supervised/unsupervised modelling, anomaly detection, NLP (extraction, classification, NER), OCR pipelines; evaluation design (precision/recall, ROC/PR).· LangChain/LangGraph; embeddings; vector databases / Azure Cognitive Search (vector); prompt engineering & safety patterns.· MLflow, model registry, online/offline evals, data/version management; CI/CD for models.· Delta Lake/Lakehouse (bronze/silver/gold), Azure Data Lake Gen2, Databricks/ADF, schema/versioning, Great Expectations/Deequ.· Python (FastAPI), eventing (Event Grid/Service Bus), containerization (AKS/Azure Container Apps), APIM.· Cognitive Search, Azure OpenAI, Key Vault, Monitor/App Insights, Purview, Cosmos DB/Azure SQL.· Technical decision-making, cross-team coordination, stakeholder communication, mentoring. Preferred skills · Certifications in AI/ML disciplines.· Hands-on experience with explainable AI and AI governance.· Familiarity with regulatory compliance standards for financial data (e.g., SOX, GDPR). Qualifications · Bachelor's Degree in Computer Science or related science field or equivalent.

Job Title : Medical Associate Job Overview : As a Medical Associate , you will play a critical role in preparing detailed medical summaries, chronologies, demand letters, and other legal documentation. This position involves analyzing complex medical records and organizing them to ensure they meet legal and case-related standards. You will use your advanced knowledge of medical terminology to help create clear, concise, and accurate documents for the legal team and other stakeholders. Key Responsibilities : 1.Medical Summary and Chronology : Review and analyze large volumes of medical records, including diagnostic reports and physician notes. Identify and document key medical events, tracking symptom progression and treatment outcomes. Differentiate between pre-existing conditions and injury-related conditions for accurate medical representation. 2.Demand Letters and Billing Summary : Summarize medical records and billing information for demand letters, ensuring clarity and accuracy. Collaborate with the Demands team to support case resolution. 3.Medical Record Organization and Hyperlinking : 4.Exhibits and Redaction : 5.Narrative Summary and Case Analysis : 6.Quality Control and Compliance : 7.Collaboration and Communication :: Organize and structure medical records for easy navigation during legal proceedings. Implement hyperlinking techniques to enhance document accessibility. Prepare exhibits for legal submissions, ensuring proper documentation and redaction of sensitive information. Draft detailed narrative summaries of plaintiff medical histories, highlighting key medical events and their implications. Analyze medical records within the context of litigation to support case strategies. Ensure that all medical documentation complies with legal standards and internal protocols. Conduct thorough quality checks to maintain high standards of accuracy. Work closely with the legal and medical teams to ensure efficient case preparation. Provide medical expertise and insights to support cross-functional projects. Required Qualifications Bachelor’s degree in health sciences (Only BPT, BAMS, BDS, nursing). Minimum 1 years of medical transcription, scribe, or relevant experience. Strong understanding of medical terminology, healthcare procedures, and legal documentation. Proficiency in Microsoft Office, Adobe Acrobat, and document management systems. Preferred Qualifications : Experience in legal, medical-legal, or personal injury case management. Familiarity with medical documentation software and tools. Job Type : Full-time Location : Onsite (Work from Office Only) Job Types: Full-time, Permanent Pay: Up to ₹25,000.00 per month Benefits: Health insurance Leave encashment Paid sick time Provident Fund Application Question(s): What is your highest qualification ? Location: Bengaluru, Karnataka (Required) Work Location: In person

Medical Associate Job Description Job Title : Medical Associate Job Overview : As a Medical Associate , you will play a critical role in preparing detailed medical summaries, chronologies, demand letters , and other legal documentation. This position involves analyzing complex medical records and organizing them to ensure they meet legal and case-related standards. You will use your advanced knowledge of medical terminology to help create clear, concise, and accurate documents for the legal team and other stakeholders. Key Responsibilities : Medical Summary and Chronology : Review and analyze large volumes of medical records, including diagnostic reports and physician notes. Identify and document key medical events, tracking symptom progression and treatment outcomes. Differentiate between pre-existing conditions and injury-related conditions for accurate medical representation. Demand Letters and Billing Summary : Summarize medical records and billing information for demand letters, * ensuring clarity and accuracy. Collaborate with the Demands team to support case resolution. Medical Record Organization and Hyperlinking : Organize and structure medical records for easy navigation during legal proceedings. Implement hyperlinking techniques to enhance document accessibility. Exhibits and Redaction : Prepare exhibits for legal submissions, ensuring proper documentation and redaction of sensitive information. Narrative Summary and Case Analysis : Draft detailed narrative summaries of plaintiff medical histories, highlighting key medical events and their implications. Analyze medical records within the context of litigation to support case strategies. Quality Control and Compliance : Ensure that all medical documentation complies with legal standards and internal protocols. Conduct thorough quality checks to maintain high standards of accuracy. Collaboration and Communication : Work closely with the legal and medical teams to ensure efficient case preparation. Provide medical expertise and insights to support cross-functional projects. Required Qualifications : Bachelor’s degree in health sciences (BPT, BAMS, BDS, nursing, pharmacy, or a related field). Minimum 3 years of medical transcription, scribe, or relevant experience. Strong understanding of medical terminology, healthcare procedures, and legal documentation. Proficiency in Microsoft Office, Adobe Acrobat, and document management systems. Preferred Qualifications : Experience in legal, medical-legal, or personal injury case management. Familiarity with medical documentation software and tools. Job Type : Full-time Location : Onsite (Work from Office Only) Salary : Max 30,000 Which will be fixed by the manager. If the candidate has relevant experience and qualification. Job Types: Full-time, Permanent, Fresher Pay: ₹250,000.00 - ₹300,000.00 per year Benefits: Food provided Health insurance Provident Fund Application Question(s): What is your highest qualification ? Location: Bangalore, Karnataka (Required) Work Location: In person

Lead Assistant Manager EXL/LAM/1476413 ServicesNoida Posted On 09 Sep 2025 End Date 24 Oct 2025 Required Experience 3 - 8 Years Basic Section Number Of Positions 1 Band B2 Band Name Lead Assistant Manager Cost Code D010387 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 800000.0000 - 2200000.0000 Complexity Level - Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Healthcare Organization Services LOB Healthcare Analytics SBU Analytics Country India City Noida Center Noida-SEZ BPO Solutions Skills Skill PYTHON CODE COMPOSER DOCKER CI/CD INTEGRATION API DESIGN ARTIFICIAL INTELLIGENCE NLP NATURAL LANGUAGE PROCESSING - NLP Minimum Qualification BCA Certification No data available Job Description We are looking for a talented Generative AI Developer to design and implement intelligent solutions that automate the modification and updating of Microsoft Word documents using GenAI models. The ideal candidate will have experience in natural language processing (NLP), LLMs, and document processing, and will work closely with product and engineering teams to deliver scalable and secure AI-powered document workflows. ________________________________________ Develop GenAI-powered applications that can understand, modify, and generate content within Word documents. Integrate LLMs (e.g., GPT, PaLM, Claude) with document processing tools and APIs (e.g., Microsoft Graph, Office.js). Build intelligent workflows for tasks such as summarization, redaction, formatting, template filling, and content rewriting. Fine-tune or prompt-engineer models for domain-specific document tasks. Ensure solutions are secure, compliant, and optimized for performance. Conduct testing and validation of AI outputs to ensure accuracy and reliability. Stay updated with the latest GenAI advancements and apply them to improve document automation capabilities. Hands-on experience with GenAI platforms (OpenAI, Google Vertex AI, Azure OpenAI, etc.). Proficiency in Python and familiarity with libraries like LangChain, Transformers, or similar. Experience working with Microsoft Word APIs and document formats (.docx). Strong understanding of prompt engineering and model fine-tuning. Excellent problem-solving and communication skills Workflow Workflow Type L&S-DA-Consulting

Role Description We are seeking a skilled Technical Lead to Lead the end-to-end design and delivery of an AI-powered solution —combining NLP, anomaly detection, GenAI/RAG, and rule engines on Cloud platform. Own architecture, technical roadmap, and production reliability while guiding a cross-functional team (ML, Data Eng, Backend, DevOps, QA). Key responsibilities Define reference architecture (ingestion → lakehouse → features/vectors → models → APIs/UX); make build/buy decisions Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components; establish human-in-the-loop Implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, rollback Design retrieval pipelines (chunking, embeddings, vector namespaces), guardrails (prompt policies, allow-lists, PII redaction), and citation-based responses Oversee feature store, labelling strategy, and high-quality gold datasets; enforce DQ rules and lineage Right-size SKUs; caching/batching; cost/per-token dashboards; SLOs for latency/throughput Break down epics/stories, estimate and sequence work, unblock the team, run technical design reviews Translate business policy into rule + ML ensembles, present options, risks, and trade-offs Establish testing pyramid (unit, data, model evals, e2e), performance targets, observability dashboards Produce design docs, runbooks, SOPs; mentor engineers; uplift coding and review standards. Skills requirements 10+ years of software development experience, with at least 5 years leading AI/ML projects Supervised/unsupervised modelling, anomaly detection, NLP (extraction, classification, NER), OCR pipelines; evaluation design (precision/recall, ROC/PR) LangChain/LangGraph; embeddings; vector databases / Azure Cognitive Search (vector); prompt engineering & safety patterns MLflow, model registry, online/offline evals, data/version management; CI/CD for models Delta Lake/Lakehouse (bronze/silver/gold), Azure Data Lake Gen2, Databricks/ADF, schema/versioning, Great Expectations/Deequ Python (FastAPI), eventing (Event Grid/Service Bus), containerization (AKS/Azure Container Apps), APIM Cognitive Search, Azure OpenAI, Key Vault, Monitor/App Insights, Purview, Cosmos DB/Azure SQL Technical decision-making, cross-team coordination, stakeholder communication, mentoring. Preferred skills Certifications in AI/ML disciplines Hands-on experience with explainable AI and AI governance Familiarity with regulatory compliance standards for financial data (e.g., SOX, GDPR). Qualifications Bachelor's Degree in Computer Science or related science field or equivalent

John Cockerill, enablers of opportunities Driven since 1817 by the entrepreneurial spirit and thirst for innovation of its founder, the John Cockerill Group develops large-scale technological solutions to meet the needs of its time: facilitating access to low carbon energies, enabling sustainable industrial production, preserving natural resources, contributing to greener mobility, enhancing security and installing essential infrastructures. Its offer to businesses, governments and communities consists of services and associated equipment for the sectors of energy, defence, industry, the environment, transports, and infrastructures. With over 6,000 employees, John Cockerill achieved a turnover of € 1,209 billion in 2023 in 29 countries, on 5 continents. www.johncockerill.com Location - Navi Mumbai, India Job Purpose The John Cockerill Group, a world leader in Green Hydrogen technologies has established itself as a reliable partner for all the stakeholders aiming to achieve Net zero emission targets. We are present across geographies and in all key energy markets. Our mission is to accelerate the transition to green hydrogen for a carbon-neutral world. We are a recognized leader globally for large-scale decarbonized hydrogen production solutions. John Cockerill's offer ranges from the supply of equipment to the EPC turnkey solution for industry, the energy sector or mobility. To support the development of its Hydrogen Business Line, John Cockerill Hydrogen (JC H2) is looking for a Lead EAI Engineer (m/f) to be based in India office engineering center. The EIA Engineer is part of the EAI team, which includes people specialized in industrial electricity, power conversion, automation, and instrumentation. He/She will be responsible for all the design and engineering execution of instrumentation and basic electrical study of domestic and international FEED & Details engineering projects. Key Result Areas Based on process team studies, check and develop the P&ID's related to the solution. Write the specifications, participate in technical discussions with customer and suppliers. Identify future solution, based on market evolution. Identify improvements and/or weaknesses. Follow-up new technologies and suppliers’ development to ensure the best technical and economic solution for each of our products. Key Responsibilities The EAI engineer will be responsible for: design of instrument in process installations, Specify instruments (technical specifications and/or datasheets), Develop the instrument list and IO list relative to a project. Contact suppliers in collaboration with the Purchasing Department, to ensure the technical comparison of offers and technical discussions with suppliers. Determine the different scenarios based on process parameters. Deliver input for technical specifications after design optimization. Conducts risk analysis and HAZOP. Revise the parameters based on supplier feedback and internal detailed calculations. Assesses compliance with applicable safety and quality standards. Participate in the redaction of commissioning procedure. Ensure the follow-up of suppliers, including receipt of material. Participate to FAT and SAT related to it's studies, based on checklists for verification of product conformity Develop engineering process and templates for the team. Interested and ensure the technological watch, be proactive in the continuous learning of Hydrogen sector Knowledge in electrical basic design is a key requirement. Be able to design and specify electrical philosophy. Realization of low-voltage electrical distribution studies. Carry out power balances, cable books and cable calculation notes. Realize single-line and multiline diagrams. Develop layout diagrams for EAI equipment, cables, and cables trays. Produce project lists (electrical consumers, load list, cable list, bill of quantities, etc.) Education And Experience You have an engineering degree in I&C or in the electrical field, You have minimum 15-18 years' experience in process design and engineering in an industrial environment. Experience and knowledge in the Oil&Gas or Energy sector is an asset. Being proficient in process control, measurement principles, control valves, transmitters, analyzers, and other relevant instruments Knowledge of the following standards, on top of electrical ones (IEC, NEC): Functional Safety Electromagnetic Compatibility Explosive Atmosphere API You have a strong and autonomous personality, an entrepreneurial mindset and a will to win. You are able to prioritize and have an excellent sense of organization. You are able to work in a team and take responsibility on several projects in parallel. You are adaptable and at ease with evolving in a continuously growing environment. You are fluent in English and French You are proficient in MS office, Teams, and SharePoint Background, Skills, And Competencies I&C or Electrical Engineer with design and engineering experience in oil & gas / Energy / Green Hydrogen sectors Minimum experience 15 years as I&C or electrical engineer with Leading and reputed Engineering / EPC companies operating in oil& gas, energy, renewable energy sectors. Exposure and experience of Green Hydrogen projects is a plus. Who We Are About John Cockerill John Cockerill is a global player in energy transition. With more than 200 years of experience in energy, industry and mobility, the company designs and integrates innovative technology to facilitate access to low-carbon energy. These technologies and associated expertise are dedicated to the production, storage, and distribution of electricity from renewable energy sources and to optimizing the efficiency of power plants. The technologies apply to steam-gas, hydraulic, hydrogen, solar, nuclear, wind and biomass energy. To complement its commitment to the fight against climate change, John Cockerill is also deploying solutions to contribute to greener mobility, to produce responsibly, to preserve natural resources and to fight against insecurity. In 2020 John Cockerill achieved a turnover of Euro 1.01 bn in 19 countries. John Cockerill, which is privately owned, employs 5,200 people worldwide, including more than 400 in India. Equal Opportunity Employer John Cockerill and all John Cockerill Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, ancestry, sex (including pregnancy, childbirth, and related medical conditions), age, marital status, disability, veteran status, citizenship status, sexual orientation, gender identity or expression, and other characteristics protected by law. John Cockerill offers you career and development opportunities within its various sectors in a friendly working environment. Do you want to work for an innovative company that will allow you to take up technical challenges on a daily basis? We look forward to receiving your application and to meeting you! Discover our job opportunities in details on www.johncockerill.com

Role Description We are seeking a skilled Technical Lead to Lead the end-to-end design and delivery of an AI-powered solution —combining NLP, anomaly detection, GenAI/RAG, and rule engines on Cloud platform. Own architecture, technical roadmap, and production reliability while guiding a cross-functional team (ML, Data Eng, Backend, DevOps, QA). Key responsibilities Define reference architecture (ingestion → lakehouse → features/vectors → models → APIs/UX); make build/buy decisions Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components; establish human-in-the-loop Implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, rollback Design retrieval pipelines (chunking, embeddings, vector namespaces), guardrails (prompt policies, allow-lists, PII redaction), and citation-based responses Oversee feature store, labelling strategy, and high-quality gold datasets; enforce DQ rules and lineage Right-size SKUs; caching/batching; cost/per-token dashboards; SLOs for latency/throughput Break down epics/stories, estimate and sequence work, unblock the team, run technical design reviews Translate business policy into rule + ML ensembles, present options, risks, and trade-offs Establish testing pyramid (unit, data, model evals, e2e), performance targets, observability dashboards Produce design docs, runbooks, SOPs; mentor engineers; uplift coding and review standards. Skills requirements 10+ years of software development experience, with at least 5 years leading AI/ML projects Supervised/unsupervised modelling, anomaly detection, NLP (extraction, classification, NER), OCR pipelines; evaluation design (precision/recall, ROC/PR) LangChain/LangGraph; embeddings; vector databases / Azure Cognitive Search (vector); prompt engineering & safety patterns MLflow, model registry, online/offline evals, data/version management; CI/CD for models Delta Lake/Lakehouse (bronze/silver/gold), Azure Data Lake Gen2, Databricks/ADF, schema/versioning, Great Expectations/Deequ Python (FastAPI), eventing (Event Grid/Service Bus), containerization (AKS/Azure Container Apps), APIM Cognitive Search, Azure OpenAI, Key Vault, Monitor/App Insights, Purview, Cosmos DB/Azure SQL Technical decision-making, cross-team coordination, stakeholder communication, mentoring. Preferred skills Certifications in AI/ML disciplines Hands-on experience with explainable AI and AI governance Familiarity with regulatory compliance standards for financial data (e.g., SOX, GDPR). Qualifications Bachelor's Degree in Computer Science or related science field or equivalent

Role Description We are seeking a skilled Technical Lead to Lead the end-to-end design and delivery of an AI-powered solution —combining NLP, anomaly detection, GenAI/RAG, and rule engines on Cloud platform. Own architecture, technical roadmap, and production reliability while guiding a cross-functional team (ML, Data Eng, Backend, DevOps, QA). Key responsibilities Define reference architecture (ingestion → lakehouse → features/vectors → models → APIs/UX); make build/buy decisions Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components; establish human-in-the-loop Implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, rollback Design retrieval pipelines (chunking, embeddings, vector namespaces), guardrails (prompt policies, allow-lists, PII redaction), and citation-based responses Oversee feature store, labelling strategy, and high-quality gold datasets; enforce DQ rules and lineage Right-size SKUs; caching/batching; cost/per-token dashboards; SLOs for latency/throughput Break down epics/stories, estimate and sequence work, unblock the team, run technical design reviews Translate business policy into rule + ML ensembles, present options, risks, and trade-offs Establish testing pyramid (unit, data, model evals, e2e), performance targets, observability dashboards Produce design docs, runbooks, SOPs; mentor engineers; uplift coding and review standards. Skills requirements 10+ years of software development experience, with at least 5 years leading AI/ML projects Supervised/unsupervised modelling, anomaly detection, NLP (extraction, classification, NER), OCR pipelines; evaluation design (precision/recall, ROC/PR) LangChain/LangGraph; embeddings; vector databases / Azure Cognitive Search (vector); prompt engineering & safety patterns MLflow, model registry, online/offline evals, data/version management; CI/CD for models Delta Lake/Lakehouse (bronze/silver/gold), Azure Data Lake Gen2, Databricks/ADF, schema/versioning, Great Expectations/Deequ Python (FastAPI), eventing (Event Grid/Service Bus), containerization (AKS/Azure Container Apps), APIM Cognitive Search, Azure OpenAI, Key Vault, Monitor/App Insights, Purview, Cosmos DB/Azure SQL Technical decision-making, cross-team coordination, stakeholder communication, mentoring. Preferred skills Certifications in AI/ML disciplines Hands-on experience with explainable AI and AI governance Familiarity with regulatory compliance standards for financial data (e.g., SOX, GDPR). Qualifications Bachelor's Degree in Computer Science or related science field or equivalent

Role Description We are seeking a skilled Technical Lead to Lead the end-to-end design and delivery of an AI-powered solution —combining NLP, anomaly detection, GenAI/RAG, and rule engines on Cloud platform. Own architecture, technical roadmap, and production reliability while guiding a cross-functional team (ML, Data Eng, Backend, DevOps, QA). Key responsibilities Define reference architecture (ingestion → lakehouse → features/vectors → models → APIs/UX); make build/buy decisions Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components; establish human-in-the-loop Implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, rollback Design retrieval pipelines (chunking, embeddings, vector namespaces), guardrails (prompt policies, allow-lists, PII redaction), and citation-based responses Oversee feature store, labelling strategy, and high-quality gold datasets; enforce DQ rules and lineage Right-size SKUs; caching/batching; cost/per-token dashboards; SLOs for latency/throughput Break down epics/stories, estimate and sequence work, unblock the team, run technical design reviews Translate business policy into rule + ML ensembles, present options, risks, and trade-offs Establish testing pyramid (unit, data, model evals, e2e), performance targets, observability dashboards Produce design docs, runbooks, SOPs; mentor engineers; uplift coding and review standards. Skills requirements 10+ years of software development experience, with at least 5 years leading AI/ML projects Supervised/unsupervised modelling, anomaly detection, NLP (extraction, classification, NER), OCR pipelines; evaluation design (precision/recall, ROC/PR) LangChain/LangGraph; embeddings; vector databases / Azure Cognitive Search (vector); prompt engineering & safety patterns MLflow, model registry, online/offline evals, data/version management; CI/CD for models Delta Lake/Lakehouse (bronze/silver/gold), Azure Data Lake Gen2, Databricks/ADF, schema/versioning, Great Expectations/Deequ Python (FastAPI), eventing (Event Grid/Service Bus), containerization (AKS/Azure Container Apps), APIM Cognitive Search, Azure OpenAI, Key Vault, Monitor/App Insights, Purview, Cosmos DB/Azure SQL Technical decision-making, cross-team coordination, stakeholder communication, mentoring. Preferred skills Certifications in AI/ML disciplines Hands-on experience with explainable AI and AI governance Familiarity with regulatory compliance standards for financial data (e.g., SOX, GDPR). Qualifications Bachelor's Degree in Computer Science or related science field or equivalent

We are looking for a talented Generative AI Developer to design and implement intelligent solutions that automate the modification and updating of Microsoft Word documents using GenAI models. The ideal candidate will have experience in natural language processing (NLP), LLMs, and document processing, and will work closely with product and engineering teams to deliver scalable and secure AI-powered document workflows. ________________________________________ Develop GenAI-powered applications that can understand, modify, and generate content within Word documents. Integrate LLMs (e.g., GPT, PaLM, Claude) with document processing tools and APIs (e.g., Microsoft Graph, Office.js). Build intelligent workflows for tasks such as summarization, redaction, formatting, template filling, and content rewriting. Fine-tune or prompt-engineer models for domain-specific document tasks. Ensure solutions are secure, compliant, and optimized for performance. Conduct testing and validation of AI outputs to ensure accuracy and reliability. Stay updated with the latest GenAI advancements and apply them to improve document automation capabilities. Hands-on experience with GenAI platforms (OpenAI, Google Vertex AI, Azure OpenAI, etc.). Proficiency in Python and familiarity with libraries like LangChain, Transformers, or similar. Experience working with Microsoft Word APIs and document formats (.docx). Strong understanding of prompt engineering and model fine-tuning. Excellent problem-solving and communication skills

Company Description Global Technology Partners is a premier partner for digital transformation, with a diverse team of software engineering experts in the US and India. They combine strategic thinking, innovative design, and robust engineering to deliver exceptional results for their clients. GTP Labs is our internal R&D and client-facing innovation group. You’ll prototype, evaluate, and productionize AI features across our products—then help customers adopt them. We’re looking for a strong junior who can grow into leading our AI/ML team. Experience: 1–4 years (high upside, lead potential) Responsibilities Build & Experiment Design rapid POCs for LLM-powered features (RAG, agents, tool use) and graduate the best ideas into roadmap items. Stand up MCP servers over OpenAPI specs to enable “ask & test the API” experiences. Create evaluation harnesses (offline & human-in-the-loop) for prompts, models, and pipelines. Productize Ship ML/LLM services (APIs, microservices) with clean interfaces, telemetry, tests, and CI/CD. Implement guardrails (PII handling, redaction, safety filters) and quality gates. Data & MLOps Build datasets (label/curate), retrieval indexes, vector stores, and monitoring dashboards. Own experiment tracking and model/artifact versioning; help with cost/performance tuning. Partner with stakeholders Work closely with Product, Backend (Java/Spring), Frontend (Angular), and Customer teams; write clear docs and present findings Ideal candidate(s) must have Solid Python (data/ML) and at least one of PyTorch or TensorFlow. Working knowledge of LLMs: tokenization, embeddings, RAG, basic fine-tuning/LoRA, prompt design, evaluation. API engineering: build/consume REST; JSON; pagination; auth; rate limits. Retrieval & storage: one vector DB (pgvector, Pinecone, Weaviate, or similar) + SQL basics. Packaging & delivery: Docker, Git, testing, simple CI. Excellent written & spoken communication; strong product sense; ownership mindset Nice to have LangChain/LlamaIndex; agents (CrewAI/AutoGen); MCP (Model Context Protocol). Cloud: AWS/Azure/GCP (S3, Lambda, Bedrock/Azure OpenAI, basic IAM). Document AI (OCR, layout/structure), OpenAPI tooling, Postman/Newman, Spectral, Dredd/Schemathesis. Frontend familiarity (Angular/TypeScript) or Java/Spring Boot integration experience. Experiment tracking (Weights & Biases/MLflow); Kubernetes; basic Kafka/stream processing How we work Velocity + Rigor: short POC cycles with measurable evals; promote what wins. Security by design: PII handling, encryption, role-based access, audit trails. Mentorship: direct access to senior architects and product leaders; learning budget & GPU time. Growth path 0–6 months: lead POCs end-to-end; own an evaluation framework; ship 1–2 features into production. 6–12 months: tech lead for a product work-stream 12–18 months: mentor juniors; co-own roadmap; drive customer pilots—path to AI/ML Lead Qualifications Bachelor’s or Master’s degree in Computers, or a related field with 1-4 years of relevant experience

Role Description We are seeking a skilled Technical Lead to Lead the end-to-end design and delivery of an AI-powered solution —combining NLP, anomaly detection, GenAI/RAG, and rule engines on Cloud platform. Own architecture, technical roadmap, and production reliability while guiding a cross-functional team (ML, Data Eng, Backend, DevOps, QA). Key responsibilities Define reference architecture (ingestion → lakehouse → features/vectors → models → APIs/UX); make build/buy decisions. Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components; establish human-in-the-loop. Implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, rollback. Design retrieval pipelines (chunking, embeddings, vector namespaces), guardrails (prompt policies, allow-lists, PII redaction), and citation-based responses. Oversee feature store, labelling strategy, and high-quality gold datasets; enforce DQ rules and lineage. Right-size SKUs; caching/batching; cost/per-token dashboards; SLOs for latency/throughput. Break down epics/stories, estimate and sequence work, unblock the team, run technical design reviews. Translate business policy into rule + ML ensembles, present options, risks, and trade-offs. Establish testing pyramid (unit, data, model evals, e2e), performance targets, observability dashboards. Produce design docs, runbooks, SOPs; mentor engineers; uplift coding and review standards. Skills requirements 10+ years of software development experience, with at least 5 years leading AI/ML projects. Supervised/unsupervised modelling, anomaly detection, NLP (extraction, classification, NER), OCR pipelines; evaluation design (precision/recall, ROC/PR). LangChain/LangGraph; embeddings; vector databases / Azure Cognitive Search (vector); prompt engineering & safety patterns. MLflow, model registry, online/offline evals, data/version management; CI/CD for models. Delta Lake/Lakehouse (bronze/silver/gold), Azure Data Lake Gen2, Databricks/ADF, schema/versioning, Great Expectations/Deequ. Python (FastAPI), eventing (Event Grid/Service Bus), containerization (AKS/Azure Container Apps), APIM. Cognitive Search, Azure OpenAI, Key Vault, Monitor/App Insights, Purview, Cosmos DB/Azure SQL. Technical decision-making, cross-team coordination, stakeholder communication, and mentoring. Preferred skills Certifications in AI/ML disciplines. Hands-on experience with explainable AI and AI governance. Familiarity with regulatory compliance standards for financial data (e.g., SOX, GDPR). Qualifications Bachelor's Degree in Computer Science or related science field or equivalent.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us . Develop training and drive change management for novel processes related to the EU Clinical Trial Regulation"and other regulations Manage and Coordinate redaction of clinical documents in accordance with EMA Policy 0070, Health Canada Public Release of Clinical Information (PRCI), EU Clinical Trial Regulation, and other global regulations. Collaborate with Global Development Operations, Global Biostatisticians, Medical Writing, Submission Managers, and other stakeholders to operationalize redaction requirements Provide vendor oversight to support data sharing and document redaction, as appropriate Provide CRO oversight to support document redaction Work with IT, as needed, to implement technology solutions related to clinical trial disclosure Manage and track redaction book-of-work; compile and report on volume and performance metrics Provide operational support to CT Results Managers, as required Assist in monitoring the global regulatory environment and maintains working knowledge of disclosure requirements" Communicate with internal and external stakeholders to improve on processes and manage unmet need" Train new staff and develops job aids, work instructions, and user guides, as needed" Specific Knowledge, Skills, Abilities Deep understanding of US/Canada and EU requirements for clinical trial disclosure as well as other related policies " Familiarity and comfortability working with and discussing scientific data Project and stakeholder management experience "" Demonstrated ability to work independently and seek out support when needed"" Exceptional written and oral communication skills"" Strong organizational skills with the ability to multitask and prioritize Education/Experience/ Licenses/Certifications MA/MS in scientific or medical field 2-3 years of transparency experience and 5 years relevant work experience in a scientific or medical field with BA/BS If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information https //careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Description Medical Writer II Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong. Job Responsibilities 1 to 3 years of experience in Disclosure. Knowledge of Clinical Research, Clinical Trial , clinical registries (CT.gov, CTIS- Clinical Trial information System , EUDRACT). Experience in clinical registries, clinical trial Disclosure is mandatory Fine with candidate with combination of redaction Disclosure. Lead the clear and accurate completion of medical writing deliverables, ensuring scientific information is presented clearly and accurately Manage medical writing activities associated with individual studies, coordinating these activities within and across departments with minimal supervision Complete a variety of documents, including clinical study protocols, amendments, reports, patient narratives, annual reports, investigator brochures, informed consents, plain language summaries, periodic safety update reports, clinical development plans, IND submissions, integrated summary reports, NDA and eCTD submissions, journal manuscripts, and abstracts, posters, and presentations for scientific meetings Adhere to established regulatory standards, including ICH E3 guidelines, company standard operating procedures, client standards, and approved templates, authorship requirements, and style and formatting guides Coordinate quality and editorial reviews, ensuring source documentation is managed appropriately Act as a peer reviewer for the internal team to ensure document scientific content, clarity, overall consistency, and proper format Review statistical analysis plans and table/figure/listing specifications for appropriate content, grammar, format, and consistency, providing feedback to further define statistical output required and document needs Interact and build good working relations with clients, department heads, and peers in data management, biostatistics, regulatory affairs, and medical affairs to produce writing deliverables Perform online clinical literature searches and comply with copyright requirements Identify and propose solutions to resolve issues, providing technical support, training, and consultation to department and other company staff Mentor and lead less experienced medical writers on complex projects Develop deep expertise on key topics in the industry and regulatory requirements Work within budget specifications for assigned projects. Qualifications: Bachelor's degree in a relevant discipline with relevant writing experience; graduate degree preferred. Client interaction experience. Strong understanding of FDA and ICH regulations, other regulatory guidelines, and/or good publication practices strongly required Experience writing relevant document types required Extensive knowledge of English grammar and ability to communicate clearly; strong familiarity with AMA Manual of Style Necessary Skills: Strong presentation, proofreading, collaborative, and interpersonal skills Strong project and time management skills Strong proficiency in MS Office Strong understanding of medical terminology, principles of clinical research, and how to interpret and present clinical data and other complex information Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. http://www.syneoshealth.com Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Roles & Responsibilities: Prepare clinical regulatory documents for public disclosure, including anonymization of personal data and redaction of commercially confidential information, or prepare documents for public registries e.g. ClinicalTrials.gov Work closely with cross functional stakeholders to define redaction strategy and disclosure, lead review and approval, ensure submission readiness, and hand off for timely submission or posting Ensure consistent quality across documents, ensure submission readiness, and hand off for timely submission or posting Communicate with team members or cross-functional stakeholders to resolve problems and escalate issues Record and maintain written redaction strategy for the study and product Support trend analysis and process improvement Execute clinical trial disclosure business process and ensure delivery in compliance with regulations, Amgen’s policy and SOPs/ and guidance documents Tactical point of contact for assigned areas of responsibility, completes assigned action items, and maintains documentation of assigned responsibilities Assist/support trial disclosure audits and inspections Serve as Process Administer for CTRS, support active CTRS users, system access, inquiries, and issue resolution Generate /manage reports, trackers, portals and metric activities Required Skills: Experience understanding and interpreting data/information and its practical application Self-motivated with developed skills in multi-tasking, attention to detail, and follow-through Ability to follow controlled processes Excellent spoken and written English Ability to communicate and negotiate to influence stakeholders Project management skills, including ability to prioritize work in order to meet required deadlines Problem solving ability Basic Qualifications: Bachelor’s degree Minimum of 2 years experience in preparing regulatory documents for public disclosure Understanding of clinical research and clinical regulatory documents Working knowledge of clinical trial disclosure regulations, guidelines, and best practices EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Roles & Responsibilities: Prepare clinical regulatory documents for public disclosure, including anonymization of personal data and redaction of commercially confidential information, or prepare documents for public registries e.g. ClinicalTrials.gov Work closely with cross functional stakeholders to define redaction strategy and disclosure, lead review and approval, ensure submission readiness, and hand off for timely submission or posting Ensure consistent quality across documents, ensure submission readiness, and hand off for timely submission or posting Communicate with team members or cross-functional stakeholders to resolve problems and escalate issues Record and maintain written redaction strategy for the study and product Support trend analysis and process improvement Execute clinical trial disclosure business process and ensure delivery in compliance with regulations, Amgen’s policy and SOPs/ and guidance documents Tactical point of contact for assigned areas of responsibility, completes assigned action items, and maintains documentation of assigned responsibilities Assist/support trial disclosure audits and inspections Serve as Process Administer for CTRS, support active CTRS users, system access, inquiries, and issue resolution Generate /manage reports, trackers, portals and metric activities Required Skills: Experience understanding and interpreting data/information and its practical application Self-motivated with developed skills in multi-tasking, attention to detail, and follow-through Ability to follow controlled processes Excellent spoken and written English Ability to communicate and negotiate to influence stakeholders Project management skills, including ability to prioritize work in order to meet required deadlines Problem solving ability Basic Qualifications: Bachelor’s degree Minimum of 2 years experience in preparing regulatory documents for public disclosure Understanding of clinical research and clinical regulatory documents Working knowledge of clinical trial disclosure regulations, guidelines, and best practices EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

About Position: We are hiring for Lead Python engineer with hands on experience with Apache Beam, databricks etc., Role: Lead Python Platform Engineer – Architecture & Performance Location: All PSL Locations Experience: 3 to 7 Years Job Type: Full Time Employment What You'll Do: Architecture and reuse: Design and build a shared component library/SDK for pipelines: ingestion, parsing/OCR, extraction (RegEx now, LLM/SLM later), validation, enrichment, publishing. Define patterns/templates for Apache Beam pipelines and Databricks jobs; standardize configuration, packaging, versioning, CI/CD, and documentation. Create pluggable interfaces so multiple teams can swap extractors (Regex/LLM), OCR providers, and EMR publishers without code rewrites. Define repo strategy - shared/child repos for each use case Performance and reliability: Own end-to-end profiling and tuning: cProfile/py-spy/line_profiler, memory (tracemalloc), CPU vs I/O analysis. Instrument services with Elastic APM and correlate traces/metrics with Splunk logs; build dashboards and runbooks. Implement concurrency best practices: asyncio for I/O-bound, ThreadPool/ProcessPool for CPU-bound, batching, rate limiting, retries, etc. Implement robust LLM API rate limiting/governance: enforce provider TPM and concurrency caps, request queueing/token budgeting, and emit APM/Splunk metrics (throttle rate, queue depth, cost per job) with alerts. Establish SLOs/alerts for throughput, latency, error rates; set up DLQs and recovery patterns. Team enablement: Mentor devs, lead design reviews, codify best practices, write clear docs and examples. Partner with ML engineers on the future LLM/SLM path (evaluation harness, safety/PII, cost/perf). Expertise You'll Bring: 7+ years Python with strong depth in performance and concurrency (asyncio, concurrent.futures, multiprocessing), profiling and memory tuning. Observability expertise: Elastic APM instrumentation and dashboarding; Splunk for logs and correlation; OpenTelemetry familiarity. Must have implemented LLM based solutions and supported them in production API engineering for high-throughput integrations (REST, OAuth2), resilience patterns, and secure handling of sensitive data. Strong architecture/design skills: clean interfaces, packaging shared libs, versioning, CI/CD (GitHub Actions/Azure DevOps), testing. 3+ years building large-scale data pipelines with Apache Beam and/or Spark, including hands-on Databricks experience (Jobs, Delta Lake, cluster tuning). Document processing: OCR (Tesseract, AWS Textract, Azure Form Recognizer), PDF parsing, text normalization. LLM/SLM integration experience (e.g., OpenAI/Azure AI, local SLMs), prompt/eval frameworks, PII redaction/guardrails. Cloud and tooling: AWS/Azure/GCP, Dataflow/Flink, Terraform, Docker; cost/performance tuning on Databricks. Security/compliance mindset (HIPAA), secrets management, least-privilege access. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let’s unleash your full potential at Persistent - persistent.com/careers “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

About Position: We are looking for an experienced and talented Python Architect to join our growing data competency team. The ideal candidate will have a strong background in working with Lead Python Platform, Apache Beam + Databricks platform, parsing/OCR, Validation, Implementation, Cloud (AWS/Azure/GCP). We have built the core features, but need a senior engineer to architect. Role: Python Architect Location: All Persistent Locations Experience: 7 to 14 Years Job Type: Full Time Employment What You'll Do: Architecture and reuse: Design and build a shared component library/SDK for pipelines: ingestion, parsing/OCR, extraction (RegEx now, LLM/SLM later), validation, enrichment, publishing. Define patterns/templates for Apache Beam pipelines and Databricks jobs; standardize configuration, packaging, versioning, CI/CD, and documentation. Create pluggable interfaces so multiple teams can swap extractors (Regex/LLM), OCR providers, and EMR publishers without code rewrites. Define repo strategy - shared/child repos for each use case Performance and reliability Own end-to-end profiling and tuning: cProfile/py-spy/line_profiler, memory (tracemalloc), CPU vs I/O analysis. Instrument services with Elastic APM and correlate traces/metrics with Splunk logs; build dashboards and runbooks. Implement concurrency best practices: asyncio for I/O-bound, ThreadPool/ProcessPool for CPU-bound, batching, rate limiting, retries, etc. Implement robust LLM API rate limiting/governance: enforce provider TPM and concurrency caps, request queueing/token budgeting, and emit APM/Splunk metrics (throttle rate, queue depth, cost per job) with alerts. Establish SLOs/alerts for throughput, latency, error rates; set up DLQs and recovery patterns. Team Enablement Mentor devs, lead design reviews, codify best practices, write clear docs and examples. Partner with ML engineers on the future LLM/SLM path (evaluation harness, safety/PII, cost/perf). Expertise You'll Bring: 7+ years Python with strong depth in performance and concurrency (asyncio, concurrent.futures, multiprocessing), profiling and memory tuning. Observability expertise: Elastic APM instrumentation and dashboarding; Splunk for logs and correlation; OpenTelemetry familiarity. Must have implemented LLM based solutions and supported them in production API engineering for high-throughput integrations (REST, OAuth2), resilience patterns, and secure handling of sensitive data. Strong architecture/design skills: clean interfaces, packaging shared libs, versioning, CI/CD (GitHub Actions/Azure DevOps), testing. 3+ years building large-scale data pipelines with Apache Beam and/or Spark, including hands-on Databricks experience (Jobs, Delta Lake, cluster tuning). Document processing: OCR (Tesseract, AWS Textract, Azure Form Recognizer), PDF parsing, text normalization. LLM/SLM integration experience (e.g., OpenAI/Azure AI, local SLMs), prompt/eval frameworks, PII redaction/guardrails. Cloud and tooling: AWS/Azure/GCP, Dataflow/Flink, Terraform, Docker; cost/performance tuning on Databricks. Security/compliance mindset (HIPAA), secrets management, least-privilege access. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let’s unleash your full potential at Persistent - persistent.com/careers “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Job Description Be a leader committed to understanding customer needs with your advanced knowledge of product development, design, data analytics, and responsible AI delivering impactful, compliant, and scalable solutions. You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high quality products that resonate with clients leveraging AI across machine learning, NLP, retrieval, and generative techniques (with agentic orchestration as one option among many). Job Summary As a Product Manager in Legal & Regulatory Control Operations (LRCO) Product , you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you act as the voice of the customer and develop profitable products that provide measurable value. You guide successful launches, collect feedback, and ensure top tier client experiences delivering a broad AI toolkit including predictive analytics, machine learning, natural language processing, retrieval‑augmented generation, workflow automation, and agentic approaches as appropriate. With a strong commitment to scalability, resiliency, stability, and responsible AI, you collaborate closely with cross‑functional teams to deliver compliant, high-quality products that exceed customer expectations. Job Responsibilities Own and prioritize the product backlog and roadmap, balancing AI capabilities with core features to meet strategic goals and regulatory constraints. Assist discovery and research to identify AI use cases across ML, NLP, information retrieval (e.g., RAG), optimization, predictive analytics, and workflow automation—evaluating build/buy/partner options (agentic methods included when they add value). Establish success metrics and instrumentation, including adoption, accuracy/precision/recall, time‑to‑resolution, cost‑to‑serve, reliability/latency, and risk posture. Drive cross‑functional delivery with Engineering, Data Science/ML, UX, Operations, Compliance, Legal, and Risk to ship AI capabilities, classification, anomaly detection, recommendations, and decision support with human‑in‑the‑loop where appropriate. Champion Responsible AI, ensuring data governance, privacy, security, explain ability, fairness, evaluation rigor, monitoring, and model risk management across the model lifecycle. Translate customer pain points into AI powered solutions for example regulatory change intelligence, control monitoring, case triage/routing, knowledge retrieval, evidence synthesis, redaction/PII detection—and validate via pilots and A/B tests. Support and troubleshooting: partner with teams to resolve issues, prioritize fixes, and drive continuous improvement based on telemetry and customer feedback. Author epics, user stories, and acceptance criteria (including offline/online evaluation plans) and manage delivery using Agile practices and tools (Jira, Confluence). Plan change management for AI features (enablement, documentation, training, support readiness) and track business impact post‑launch. Manage platform and vendor ecosystem (LLM platforms, vector stores, orchestration frameworks, MLOps/monitoring, analytics) to optimize cost, performance, and SLAs. Coach, mentor and motivate project team members, influencing them to act and take accountability for their assigned work Required Qualifications, Capabilities, And Skills Leverage 8+ years of experience or equivalent expertise in product management or a relevant domain. Apply advanced knowledge of the product development lifecycle, design, and data analytics. Lead discovery, ideation, strategy, requirements, and value management in complex environments. Operate effectively in a highly matrixed, complex organization. Translate AI technologies, including machine learning, NLP, and generative AI, into business value. Utilize Agile processes and tools like Confluence, JIRA, and Git. Collaborate with Data Science/ML and Engineering teams; be familiar with AI platforms and tooling. Make data-driven decisions using experimentation, statistical thinking, and telemetry. Apply knowledge of Responsible AI, privacy, security, compliance, and model risk management. Communicate complex AI concepts to non-technical stakeholders and senior leaders effectively. Adapt and solve problems with strong organization and execution skills in dynamic environments. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. Operations teams develop and manage innovative, secure service solutions to meet clients’ needs globally. Developing and using the latest technology, teams work to deliver industry-leading capabilities to our clients and customers, making it easy and convenient to do business with the firm. Teams also drive growth by refining technology-driven customer and client experiences that put users first, providing an unparalleled experience.

Lead Data Engineer – Python & GCP Job Overview: We are looking for a skilled and motivated Lead Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for requirements gathering, designing, architecting the solution, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) & ELT data pipelines. The role involves working with customers directly, gathering requirements, discovery phase, designing, architecting the solution, using various GCP services, implementing data transformations, data ingestion, data quality, and consistency across systems, and post post-delivery support. Experience Level: 10 to 12 years of relevant IT experience Key Responsibilities: Design, develop, test, and maintain scalable ETL data pipelines using Python. Architect the enterprise solutions with various technologies like Kafka, multi-cloud services, auto-scaling using GKE, Load balancers, APIGEE proxy API management, DBT, using LLMs as needed in the solution, redaction of sensitive information, DLP (Data Loss Prevention) etc. Work extensively on Google Cloud Platform (GCP) services such as: Dataflow for real-time and batch data processing Cloud Functions for lightweight serverless compute BigQuery for data warehousing and analytics Cloud Composer for orchestration of data workflows (on Apache Airflow) Google Cloud Storage (GCS) for managing data at scale IAM for access control and security Cloud Run for containerized applications Should have experience in the following areas : API framework: Python FastAPI Processing engine: Apache Spark Messaging and streaming data processing: Kafka Storage: MongoDB, Redis/Bigtable Orchestration: Airflow Experience in deployments in GKE, Cloud Run. Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery. Implement and enforce data quality checks, validation rules, and monitoring. Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions. Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects. Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL. Document pipeline designs, data flow diagrams, and operational support procedures. Required Skills: 10 to 12 years of hands-on experience in Python for backend or data engineering projects. Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.). Solid understanding of data pipeline architecture, data integration, and transformation techniques. Experience in working with version control systems like GitHub and knowledge of CI/CD practices. Experience in Apache Spark, Kafka, Redis, Fast APIs, Airflow, GCP Composer DAGs. Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.). Experience in data migrations from on-premise data sources to Cloud platforms. Good to Have (Optional Skills): Experience working with the Snowflake cloud data platform. Hands-on knowledge of Databricks for big data processing and analytics. Familiarity with Azure Data Factory (ADF) and other Azure data engineering tools. Additional Details: Excellent problem-solving and analytical skills. Strong communication skills and ability to collaborate in a team environment. Education : ● Bachelor's degree in Computer Science, a related field, or equivalent experience.

Description Medical Writer II Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong. Job Responsibilities 1 to 3 years of experience in Disclosure. Knowledge of Clinical Research, Clinical Trial , clinical registries (CT.gov, CTIS- Clinical Trial information System , EUDRACT). Experience in clinical registries, clinical trial Disclosure is mandatory Fine with candidate with combination of redaction Disclosure. Lead the clear and accurate completion of medical writing deliverables, ensuring scientific information is presented clearly and accurately Manage medical writing activities associated with individual studies, coordinating these activities within and across departments with minimal supervision Complete a variety of documents, including clinical study protocols, amendments, reports, patient narratives, annual reports, investigator brochures, informed consents, plain language summaries, periodic safety update reports, clinical development plans, IND submissions, integrated summary reports, NDA and eCTD submissions, journal manuscripts, and abstracts, posters, and presentations for scientific meetings Adhere to established regulatory standards, including ICH E3 guidelines, company standard operating procedures, client standards, and approved templates, authorship requirements, and style and formatting guides Coordinate quality and editorial reviews, ensuring source documentation is managed appropriately Act as a peer reviewer for the internal team to ensure document scientific content, clarity, overall consistency, and proper format Review statistical analysis plans and table/figure/listing specifications for appropriate content, grammar, format, and consistency, providing feedback to further define statistical output required and document needs Interact and build good working relations with clients, department heads, and peers in data management, biostatistics, regulatory affairs, and medical affairs to produce writing deliverables Perform online clinical literature searches and comply with copyright requirements Identify and propose solutions to resolve issues, providing technical support, training, and consultation to department and other company staff Mentor and lead less experienced medical writers on complex projects Develop deep expertise on key topics in the industry and regulatory requirements Work within budget specifications for assigned projects. Qualifications: Bachelor's degree in a relevant discipline with relevant writing experience; graduate degree preferred. Client interaction experience. Strong understanding of FDA and ICH regulations, other regulatory guidelines, and/or good publication practices strongly required Experience writing relevant document types required Extensive knowledge of English grammar and ability to communicate clearly; strong familiarity with AMA Manual of Style Necessary Skills: Strong presentation, proofreading, collaborative, and interpersonal skills Strong project and time management skills Strong proficiency in MS Office Strong understanding of medical terminology, principles of clinical research, and how to interpret and present clinical data and other complex information Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. http://www.syneoshealth.com Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Senior AI Solutions Architect — Enterprise Knowledge Systems Doaz | Remote (Global, KST ±5h preferred) | 30~40 LPA About Doaz Doaz builds domain-expert vertical AI for construction, heavy industry, and public safety. Our products— ConGPT (construction knowledge RAG), DGPT (multimodal quality-manual chatbot), PointChecker (contract/spec analysis), and GeoAI-Suite (borehole & excavation analysis)—help organizations like Doosan Enerbility, POSCO E&C, KT Estate, Lotte E&C , and Seoul Fire & Disaster HQ reduce risk, compress review cycles, and keep people safe. The Opportunity Architect industrial-grade AI that turns PDFs, CAD/vector drawings, incident reports, and regulations into auditable, evidence-linked decisions . You’ll own end-to-end systems (SaaS & on-prem) that prevent accidents, ensure compliance, and save lives —at Fortune-500 scale. What You’ll Do 1) Enterprise RAG & Knowledge Architecture Design multimodal RAG over PDFs (text/tables/images), CAD/vector drawings, MSDS/chemicals, and bilingual (KOR/ENG) regulations. Implement hybrid retrieval (BM25 + dense + metadata + knowledge graph) with reranking; target ≥90% top-k answerability and traceable citations . Build domain embeddings for bilingual technical terminology; craft routing/prompting for audit-ready outputs. 2) Industrial Data & Change-Aware Pipelines Ingest/normalize heterogeneous sources (ERP/MES exports, legacy DBs, SharePoint, IoT streams). Ship 10k+ document-type ingestion with schema validation, redaction, and temporal versioning for regulatory drift. Integrate external APIs (e.g., KOSHA, OSHA, EPA ; for finance modules SEC/DART ). 3) Production AI & MLOps Orchestrate ensemble decisioning (rules + priors + ML) with SLA < 10s ; cost-optimized LLM flows (tool-use, caching, distillation). Operate on AWS EKS , Postgres, Pinecone, Temporal/Argo , Prometheus/Grafana; CI/CD with test & eval gates. Build explanation layers (attribution, chain-of-evidence; SHAP/LIME where applicable) and human-in-the-loop feedback. 4) Vision & Document AI (Nice to have) Table/figure/annotation extraction (LayoutLMv3/Donut/DocFormer), symbol detection ( YOLOv8/RT-DETR ), PDF vector parsing. 5) Client Co-Creation Lead deep-dive workshops with CxO/stakeholders; design PoCs that land $1M+ programs. Mentor client teams and internal engineers; author crisp technical docs fit for audits. What You Bring Must-Have 7+ years building production AI/ML or search systems; 3+ enterprise deployments end-to-end. Expert Python 3.11+ , SQL; strong systems thinking and data modeling. RAG at scale: vector DBs ( Pinecone/Weaviate/FAISS ), BM25, rerankers, prompt/routing strategies, evals (faithfulness, coverage, latency). MLOps/SRE: versioning, canaries/A-B, drift detection, observability, cost/perf trade-offs. Clear communication; ability to turn messy, multilingual data into reliable software. Nice-to-Have Knowledge graphs ( Neo4j/RDF/SPARQL ), schema alignment/ontologies. VL/Document AI (LayoutLMv3, Donut), CAD/vector parsing, safety/compliance domain exposure. Orchestration frameworks (Temporal/Argo), FastAPI , AWS EKS , PostgreSQL , Pinecone . LLM fine-tuning/LoRA, retrieval-graded generation, multi-agent planning. Our Stack (you don’t need all of it) GPT-4o/GPT-4.1, Gemma-3 27B-VL , Qwen-VL , rerankers (Cohere/MXBAI), YOLOv8/RT-DETR, LayoutLMv3/DocFormer/Donut, FastAPI, Python, TypeScript, AWS EKS , Pinecone, Postgres, Temporal, Prometheus/Grafana. Interview Process passed the (initial) resume screening Technical Screen (45m): Your RAG decisions; live triage of a retrieval accuracy issue. System Design (2h): End-to-end design for a compliance-grade knowledge system (data → RAG → UI/UX). Take-Home (48h window): See “One Question to Answer” below. Founder Conversation: Vision/values alignment; references with prior enterprise clients. One Question to Answer (Take-Home Challenge), Challenge: Multi-language Safety Document RAG Prototype Goal: Build a working RAG system that processes safety documents in Korean and English , returning evidence-backed answers (required: inline citations and source snippets). Dataset Provided: 50 safety incident reports (25 Korean, 25 English) 10 regulatory PDFs (5 Korean KOSHA , 5 English OSHA ) 20 MSDS sheets (mixed languages) 10 sample queries with expected answers Deliverables (48h window): A running API (or CLI) that answers the 10 queries with citations Brief README covering: indexing strategy, retrieval pipeline (hybrid choices), chunking, reranking, bilingual handling, and evaluation method Report with metrics : answerability, faithfulness (citation match), and latency (p50/p95) What we’re looking for: Sound architecture, multilingual retrieval quality, clean evidence chains, pragmatic cost/latency trade-offs, and a clear eval plan. How to Apply Email: doaz@doaz.ai Subject: [Senior AI Architect – YOUR_NAME] Include: GitHub or repo for a production RAG/search system you built 1-page architecture diagram of your most complex deployed AI system Concrete metrics (accuracy, latency, scale, cost) (Bonus) Live demo URL, industrial AI write-ups, OSS contributions Why This Matters: The systems you build will directly influence real-world decisions at scale—improving compliance, reducing risk, and protecting workers every day.

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Roles & Responsibilities: Lead the preparation of clinical regulatory documents for public disclosure, including anonymization of personal data and redaction of commercially confidential information, in line with applicable regulations, guidance, and company requirements Work closely with the transparency and disclosure team and with cross functional stakeholders to define redaction strategy, to ensure timely and accurate registration and results review/approval process, including the redaction process, for US and EU registries, lead cross functional review and approval, ensure submission readiness, and hand off for timely submission or posting Support trend analysis and continuous improvement initiatives Manage projects, coordinate the work of other staff, and prioritize work in order to meet internal and external deadlines Required Skills: Experience understanding and interpreting data/information and its practical application Working experience with redaction/anonymization of clinical trial documents e.g. for EU CTR, HC-PRCI Working experience with disclosures on public registries e.g. ClinicalTrials.gov Self-motivated with developed skills in multi-tasking, attention to detail, and follow-through Good communication skills including excellent spoken and written English Ability to follow controlled processes Leadership skills, including ability to teach, negotiate and influence Project management skills, including ability to prioritize work in order to meet required deadlines Problem solving ability Serve as Process Administer for CTRS, support active CTRS users, system access, inquiries, and issue resolution Basic Qualifications: Graduate degree and 2 years of relevant work experience in the pharmaceutical industry OR Bachelor’s degree, and 4 years relevant work experience in the pharmaceutical industry Minimum of 2 years experience in preparation of regulatory documents for public disclosure Familiarity with international regulations, guidance and best practices on clinical transparency & disclosure, including protection of personal information and commercially confidential information EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Roles & Responsibilities: Prepare clinical regulatory documents for public disclosure, including anonymization of personal data and redaction of commercially confidential information, in line with regulatory requirements and the agreed strategy defined by the cross functional team Ensure consistent quality across documents, ensure submission readiness, and hand off for timely submission or posting Collaborate with team members to resolve problems and escalate issues Record and maintain written redaction strategy for the study and product Manage timelines and coordinate work across team Execute clinical trial disclosure business process and ensure deliverables and delivery timelines in compliance with regulations, Amgen policy and SOPs and guidance documents Tactical point of contact for assigned areas of responsibility, completes assigned action items, and maintains documentation of assigned responsibilities Assist/support trial disclosure audits and inspections Serve as Process Administer for CTRS, support active CTRS users, system access, inquiries, and issue resolution Generate /manage reports, trackers, portals and metric activities Required Skills: Experience understanding and interpreting data/information and its practical application Self-motivated with developed skills in multi-tasking, attention to detail, and follow-through Ability to follow controlled processes Excellent spoken and written English Project management skills, including ability to prioritize work in order to meet required deadlines Problem solving ability Basic Qualifications: Bachelor’s degree Minimum of 1 year experience working with regulatory documents in a biotech/ pharmaceutical environment Familiarity with clinical research and clinical regulatory documents Knowledge of clinical trial disclosure regulations, guidelines, and best practices Preferred Qualifications: > One year experience preparing regulatory documents for public disclosure Familiarity with Clinical Trial Registry System, NIH Protocol Registration System (PRS), ClinicalTrials.gov, EudraCT, EU CTIS, and other registries Familiarity with redaction/anonymization of clinical trial documents EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Roles & Responsibilities: Prepare clinical regulatory documents for public disclosure, including anonymization of personal data and redaction of commercially confidential information, in line with regulatory requirements and the agreed strategy defined by the cross functional team Ensure consistent quality across documents, ensure submission readiness, and hand off for timely submission or posting Collaborate with team members to resolve problems and escalate issues Record and maintain written redaction strategy for the study and product Manage timelines and coordinate work across team Execute clinical trial disclosure business process and ensure deliverables and delivery timelines in compliance with regulations, Amgen policy and SOPs and guidance documents Tactical point of contact for assigned areas of responsibility, completes assigned action items, and maintains documentation of assigned responsibilities Assist/support trial disclosure audits and inspections Serve as Process Administer for CTRS, support active CTRS users, system access, inquiries, and issue resolution Generate /manage reports, trackers, portals and metric activities Required Skills: Experience understanding and interpreting data/information and its practical application Self-motivated with developed skills in multi-tasking, attention to detail, and follow-through Ability to follow controlled processes Excellent spoken and written English Project management skills, including ability to prioritize work in order to meet required deadlines Problem solving ability Basic Qualifications: Bachelor’s degree Minimum of 1 year experience working with regulatory documents in a biotech/ pharmaceutical environment Familiarity with clinical research and clinical regulatory documents Knowledge of clinical trial disclosure regulations, guidelines, and best practices Preferred Qualifications: > One year experience preparing regulatory documents for public disclosure Familiarity with Clinical Trial Registry System, NIH Protocol Registration System (PRS), ClinicalTrials.gov, EudraCT, EU CTIS, and other registries Familiarity with redaction/anonymization of clinical trial documents EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.